Developing control systems for medical applications poses significant challenges, some of which are unique to this field. Physiological systems involve a multitude of interacting subsystems and networks, with multiple feedforward and feedback loops. The dynamics vary both between different individuals, and within the same individual over time. Measurement and estimation of both inter- and intra-patient […]
Based at Harvard University, the Doyle group is comprised of a diverse group of researchers, coming from backgrounds such as computer science, biology, and chemical engineering. Contact us to inquire about open positions.
Evaluation of an Artificial Pancreas with Enhanced Model Predictive Control and a Glucose Prediction Trust Index with Unannounced Exercise
J. E. Pinkser, A. J. Laguna Sanz, J. B. Lee, M. M. Church, C. Andre, L. E. Lindsey, F. J. Doyle III, and E. Dassau. Diabetes Technology and Therapeutics, 20(7), 2018.
Ravi Gondhalekar, Eyal Dassau, Francis J. Doyle III. Automatica. 2018.
Controlling Biological Time: Nonlinear Model Predictive Control for Populations of Circadian Oscillators
J. H. Abel, A. Chakrabarty, and F. J. Doyle III. “Controlling Biological Time: Nonlinear Model Predictive Control for Populations of Circadian Oscillators.” in Emerging Applications of Control and Systems Theory, R. Tempo, S. Yurkovich, and P. Misra, Editors, Springer, 2018.